Face Mask Detection and RFID Attendance System Electronics Engineering Final Year Project

ESP32 CAM and Arduino are connected to each other through UART port. ESP8266 (IOT module) and EM-18 (RFID module) are connected to Arduino serial ports. Two LEDs connected to Arduino digital pin.

WORKING:

 ESP32 CAM has built in camera and it can process images and based on machine learning algorithm it acts. It can detect face mask status and send status commands to Arduino. While person entry into premises, he needs to swipe RFID card. Then ESP32 cam sends face mask status to Arduino. Face mask status and person name upload to IOT server through ESP8266 module.

TECHNICAL SPECIFICATIONS:

HARDWARE:

Microcontrollers          :         Esp32-Cam and Arduino uno

LCD                                :         16×2 LCD display

IOT Module                  :         ESP8266

RFID Module               :         EM-18

LED                                :         DC 1.8V

Buzzer                            :         DC 5V

Power Source               :         12v 1 amp Adaptor

SOFTWARE:

Arduino IDE

APPLICATIONS:

• RFID attendance application
• Face mask detection application
• Multilevel attendance systems
• Smart attendance system

INTERFACES COVERD:

• We have covered Esp32-Cam and Arduino interface
• RFID reader (EM-18) and IOT module (ESP8266) interface